This commit contain tesseract4.0 and its up do date leptonica
dependancy as well as a python wrapper that use tesseract API to do text
recognition.

Currently, the wrapper cannot initialise the api as intended and the
traineddata emplacement is not set (an new environnement variable should
be introduced in zope, but it should be possible to "force" a new path
with a patch that change the tesserocr _DEFAULT_PATH value.

This fixes the following error:

    slapos-kill: error: unrecognized arguments: -l /srv/slapgrid/slappart38/var/log/neostorage-0.log

certificate-authority software release and stack was renamed to caucase

plus:
- do not fail if ncurses is installed on the system
- enable libmagic
- load share/nano/*.nanorc by default

Needed for receipt_recognition module. It contain the ocropy library and its binarization, segementation and recognition tools, as well as the scipy library containing the ndimage and stats module used in receipt_recognition_module for the binarization and inside ocropy. 

This is separated in 3 commits:
The first one add ocropy and dependancies inside slapos component;
The second one add the ocropy component to stack/erp5 buildout config file, and add gcc to the binaries callable from erp5 (needed by ocropy);
The third  is only required for the module to work without installing the wendelin software.

Edit: To keep discussions posts, i wont rebase in master, to see the rebased final commits: https://lab.nexedi.com/francois.lecorre/slapos/commits/rebased_branch

/reviewed-on nexedi/slapos!153

Ocropy needs one of matplotlib component to be imported during
buildout. This component needs cycler and dateutil

This allows a recipe building python to add custom extra-path

This commit contain modifications that allow ocropy and scipy to be
installed as eggs. Extra ld_path are added to python to allow the former
to run scipy (that needs libstdc++) inside testnodes.

This commit add component needed for Optical Character recognition:
ocropy and its dependancies

The Ocropy egg on Pypi is empty, so this component have to be built from
source. The default neural network model is downloaded from the author
website and installed in python2.7/share/ocropus.

The patch is here for to different thing: one is adding an
OCROPY_MODEL_PATH to be able to specify the position of models, the
other is importing for the first time a module that compile C code from
python, allowing us to have the static library built before runtime and
preventing us from using gcc through zope.

More models are available here:
https://github.com/tmbdev/ocropy/wiki/Models

  If there is no error, the raise can be missleading.

  Allow http2 protocol be enable or disable by default
  Allow set certain configurations for MPM to control the number of process and threads.

Check that backup kvm disk is not corrupted

Pin erp5.util to version 0.4.49, with:

 * process timeout
 * xmlrpclib.Binary wrapping

Whitespaces matter to exporter.exclude:
- patterns must *not* start with a space
- file *must* end with a newline

Also, de-duplicate paths.

  In order to make an resilient backup, resilience stack wait for the internal backup finishes,
  before proceed to notify the pbs. This commit keeps the default behaviour (wait for 10 min w/o changes),
  however allows test software release adopt a much shorter waiting time (1min).

  With this commit we can accelerate resilience tests in several minutes.

  This fix the real location of the log after use logrotate stack.

Makes it easier to deploy a functional replication setup.

They closed, and downloads get redirected to a wiki page.

Stop breaking this tool for everyone developping on slapos.

  Apache verbose way too much with LogLevel info

It was not working with wrappers to work around shebang length limitation.

https://bitbucket.org/sirex/rubygemsrecipe/issues/9/gem-shebang-line-length-limitation